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How to Use Skills Data to Solve Business Challenges (an Interview with Mikaël Wornoo)

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Manage episode 453319450 series 3289379
Content provided by Stefan Kesic and David Green. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stefan Kesic and David Green or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

What better way to learn about the makes or breaks of skills initiatives than from an organisation whose mission is to deliver reliable skills data across the workforce?

Joined by Mikaël Wornoo, co-founder of TechWolf, host David Green explores how organisations can move beyond surface-level skills discussions to drive real business impact. Sharing lessons learned from working with global organisations, this episode covers:

  • How organisations are innovatively applying skills data to solve business challenges
  • Contrasts between US and European approaches to skills that could shape your global workforce strategy
  • The hidden challenges that derail skills projects and what companies often miss when trying to “get started”
  • The roles required to build a truly effective skills team
  • Why AI isn’t just the future of skills intelligence but the catalyst for shifting how organisations define and measure talent

This episode, sponsored by TechWolf, isn’t about skills for the sake of skills—it’s about reframing workforce intelligence as a strategic lever for measurable business outcomes. TechWolf is an AI-powered solution focused on one mission: delivering reliable skills data for every role and every employee in your organisation.

With TechWolf, companies like HSBC, GSK, IQVIA, Workday, and United Airlines have accelerated time-to-hire by 32%, boosted internal mobility by 42%, and saved around $1,000 per employee annually on talent management. Visit techwolf.com for more information.

Links to Resources:


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

235 episodes

Artwork
iconShare
 
Manage episode 453319450 series 3289379
Content provided by Stefan Kesic and David Green. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stefan Kesic and David Green or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

What better way to learn about the makes or breaks of skills initiatives than from an organisation whose mission is to deliver reliable skills data across the workforce?

Joined by Mikaël Wornoo, co-founder of TechWolf, host David Green explores how organisations can move beyond surface-level skills discussions to drive real business impact. Sharing lessons learned from working with global organisations, this episode covers:

  • How organisations are innovatively applying skills data to solve business challenges
  • Contrasts between US and European approaches to skills that could shape your global workforce strategy
  • The hidden challenges that derail skills projects and what companies often miss when trying to “get started”
  • The roles required to build a truly effective skills team
  • Why AI isn’t just the future of skills intelligence but the catalyst for shifting how organisations define and measure talent

This episode, sponsored by TechWolf, isn’t about skills for the sake of skills—it’s about reframing workforce intelligence as a strategic lever for measurable business outcomes. TechWolf is an AI-powered solution focused on one mission: delivering reliable skills data for every role and every employee in your organisation.

With TechWolf, companies like HSBC, GSK, IQVIA, Workday, and United Airlines have accelerated time-to-hire by 32%, boosted internal mobility by 42%, and saved around $1,000 per employee annually on talent management. Visit techwolf.com for more information.

Links to Resources:


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

235 episodes

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